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Hostnot GPU Review

Hostnot GPU provides GPU compute and serverless inference with controlled wallet billing and live capacity access across multiple regions.

shipped Sep 6, 2026updated Sep 8, 2026gpu-cloudfreemium
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Hostnot GPU — product screenshot

Why it matters

1Offers a freemium pricing model with $10 in free credits.
2Provides GPU compute and serverless inference capabilities.
3Features a developer-friendly API for automation and integration.
4Headquartered in Dubai, UAE, with multi-region capacity access.

Response from Hostnot GPU

Hostnot GPU is built to make high-performance GPU compute easier to access without the complexity of traditional cloud platforms. We provide on-demand GPU instances, serverless AI inference, live availability, transparent pricing, API access, and wallet-based billing for developers, startups, researchers, and AI teams. Our focus is straightforward: fast deployment, clear costs, and practical infrastructure for real AI workloads.

Submitted by the vendor.

About Hostnot GPU

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
$0.10/min per minute
Free Credits
$10 free credits
Headquarters
Dubai, UAE
Founded
2026
Platforms
Web, API
Target Audience
Developers and businesses requiring GPU resources

Pricing Plans

RTX A4000
$0.08/hr
  • Live GPU availability
  • Wallet-first authorization
  • Scoped developer API

Cost Examples

  • Run a GPU instance for 30 minutes: ~$3.00
  • Run a serverless model for 15 minutes: ~$0.75

Specs

API Available

Yes, public API

Screenshots

overview

What is Hostnot GPU?

Hostnot GPU is a GPU hosting service developed by HostNot that enables developers and businesses to access dedicated GPU compute and serverless inference. It provides single-tenant, bare-metal servers equipped with GPUs, high-core-count CPUs, ample RAM, and fast NVMe or SSD storage, ensuring no resource sharing.

features

Key Features of Hostnot GPU

Hostnot GPU offers a suite of features designed for efficient GPU resource management and deployment, catering to computationally intensive tasks. The platform emphasizes controlled billing and developer accessibility.

  • Live GPU availability across multiple regions.
  • Wallet-first authorization for controlled spending.
  • Serverless inference capabilities for on-demand model execution.
  • Developer-friendly API for automation and integration (API Docs: https://hostnotgpu.ae/docs/api).
  • Precision billing with per-minute granularity.
  • Dedicated GPU compute resources on bare-metal servers.
  • Support for Multi-Instance GPU (MIG) on NVIDIA A100 and H100 GPUs.

use cases

Who Should Use Hostnot GPU?

Hostnot GPU is designed for individuals and organizations requiring robust GPU resources for demanding computational workloads, particularly in AI and data science.

  • Machine Learning Engineers and AI Researchers: For training and deploying AI models, deep learning, and large language model inference.
  • Data Scientists: For accelerating data processing, analytics, and scientific simulations.
  • Developers and Businesses: For real-time applications, 3D rendering, video transcoding, and virtual desktop infrastructure (VDI) requiring GPU acceleration.
  • Startups and SMEs: Seeking scalable GPU infrastructure without significant upfront hardware investment.

how to use

How to Use Hostnot GPU

To utilize Hostnot GPU, users typically register for an account, fund their wallet, and then provision GPU instances or deploy serverless inference endpoints via the web interface or API.

  • 1Register for a Hostnot GPU account at https://hostnotgpu.ae/.
  • 2Fund the wallet using the controlled wallet billing system.
  • 3Access live GPU capacity across available regions.
  • 4Provision dedicated GPU instances or configure serverless inference endpoints.
  • 5Utilize the developer-friendly API for automation and integration into existing workflows.
  • 6Monitor usage and costs through the precision billing dashboard.

pricing

Hostnot GPU Pricing & Plans

Hostnot GPU operates on a freemium, usage-based model, offering $10 in free credits upon registration. Billing is precise and per-minute, allowing users to control costs effectively. The platform provides two primary pricing tiers for GPU compute.

  • Free Tier: Includes $10 in free credits for initial usage.
  • Standard Tier: Priced at $0.10 per minute for GPU compute.
  • Pro Tier: Priced at $0.05 per minute for GPU compute.
  • Cost Example: Running a GPU instance for 30 minutes on the Standard tier would cost approximately $3.00. Running a serverless model for 15 minutes on the Pro tier would cost approximately $0.75.

Pros

  • +Dedicated bare-metal GPU servers ensure no resource sharing.
  • +Controlled wallet billing provides granular cost management.
  • +Developer-friendly API facilitates automation and integration.
  • +Offers both raw GPU compute and serverless inference options.
  • +Provides $10 in free credits for new users to evaluate the service.

Cons

  • Specific user reviews for 'Hostnot GPU' are not readily available.
  • Pricing, while transparent, may be higher than decentralized marketplaces like Vast.ai.
  • The range of specific GPU models available is not extensively detailed in public information.
  • May require more manual setup for complex AI workflows compared to highly integrated platforms.

Policies

Pricing Page

View Pricing

Similar Tools

Hostnot GPU vs Competitors

Hostnot GPU competes in the GPU hosting market against major cloud providers and specialized GPU platforms, differentiating itself through its wallet-first billing and dedicated server emphasis.

1

Provides both raw GPU cloud instances and serverless inference endpoints with per-second billing and free data egress, across a wide range of GPU types.

Offers a similar blend of GPU compute and serverless inference with API access and flexible billing. While Hostnot GPU emphasizes 'controlled wallet billing' and 'live capacity access across multiple regions,' RunPod also offers multi-region availability and a prepaid credit model.

2

A decentralized marketplace for GPU compute, offering significantly lower prices due to competition among hosts, with options for both raw compute and serverless inference.

Vast.ai is typically much cheaper than Hostnot GPU due to its marketplace model, but host reliability can vary, and it might require more manual management for serverless inference compared to a more integrated platform.

3

Specializes in running and deploying open-source machine learning models via a simple API, with a focus on serverless inference and per-second usage billing.

Replicate is more focused on serverless inference for pre-built or custom models via API, which aligns with Hostnot GPU's serverless inference aspect. It might offer less direct 'raw GPU compute' control than Hostnot GPU, but excels in ease of model deployment.

4

A developer-first, code-first platform for running Python, TypeScript, or Go code in the cloud, including GPU-accelerated functions, with fast cold starts and automatic scaling.

Modal offers a strong serverless GPU experience with a code-first approach, similar to Hostnot GPU's developer-friendly API. It provides a more integrated development environment for deploying GPU-backed applications, potentially offering a smoother workflow for Python developers compared to Hostnot GPU's more general GPU compute offering.

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